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15 datasets for “deep-learning”

  1. data.gov.au

    Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998

    Australian Ocean Data NetworkUpdated 23 Jun 2025

    Approximately 2,362 ±289 km2 of seagrass meadows were mapped in the waters of Hervey Bay and Great …

    • WFS
    • WMS
    • HTML
    • PNG
  2. data.gov.au

    Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998

    Australian Ocean Data NetworkUpdated 10 Sept 2026

    Approximately 2,362 ±289 km2 of seagrass meadows were mapped in the waters of Hervey Bay and Great …

    • WFS
    • WMS
    • HTML
    • PNG
  3. data.gov.au

    Seagrass meadow extents derived from field to spaceborne earth observation at Green Island (Wunyami), a reef habitat in the Cairns section of the Great Barrier Reef, November 2020

    Australian Ocean Data NetworkUpdated 3 Sept 2026

    Seagrass meadow extent and meadow-scape was mapped using two alternative approaches at Green Island, a reef clear …

    • WFS
    • WMS
    • HTML
    • PNG
  4. data.gov.au

    Buildings of WA (DPIRD-084)

    Department of Primary Industries and Regional DevelopmentUpdated 30 Sept 2026

    … This product was created with Deep Learning image segmentation of satellite data (Vivid 2.0), with further filtering …

    • DOCX
    • FGDB
    • SHP
    • GEOJSON
    • GEOPACKAGE
    • API ARCGIS SERVER MAP SERVICE
    • +2
  5. GovData Germany

    Landbedeckung NW

    Open.NRWUpdated 12 Nov 2026

    Das Produkt "Landbedeckung" wird flächendeckend und überschneidungsfrei für Nordrhein-Westfalen bereitgestellt. Die Landbedeckung basiert auf dem Datenmodell der …

    • WMS
  6. Open Government Canada

    Predictive model of Li-Cs-Ta pegmatite deposits

    Natural Resources Canada | Ressources naturelles CanadaUpdated 2 Jul 2025

    This model is derived from geological and geophysical data, which is processed using deep learning and natural language …

    • HTML
    • ESRI REST
    • WMS
    • GPKG
    • PDF
  7. data.gov.au

    Farm dams of Western Australia (DPIRD-083)

    Department of Primary Industries and Regional DevelopmentUpdated 30 Sept 2026

    … This dataset was created with Deep Learning image segmentation of satellite data (Vivid 2.0), with further filtering …

    • DOCX
    • WFS
    • API ARCGIS SERVER MAP SERVICE
    • FGDB
    • GEOPACKAGE
    • GEOJSON
    • +2
  8. Open Government Canada

    Predictive model of graphite

    Natural Resources Canada | Ressources naturelles CanadaUpdated 2 Jul 2025

    … Feature extraction used deep learning. Predictive modelling made use of the deep ensemble method. Displayed is a Pan …

    • HTML
    • ESRI REST
    • WMS
    • GPKG
    • PDF
  9. Open Government Canada

    Updated flake graphite national prospectivity

    Natural Resources Canada | Ressources naturelles CanadaUpdated 19 Oct 2026

    … Feature extraction was performed using an autoencoder (deep learning). Predictive modelling was performed using the deep ensemble method …

    • HTML
    • GPKG
    • ESRI REST
    • WMS
  10. Open Government Canada

    Updated magmatic nickel national prospectivity

    Natural Resources Canada | Ressources naturelles CanadaUpdated 19 Oct 2026

    … Feature extraction was performed using an autoencoder (deep learning). Predictive modelling was performed using the deep ensemble method …

    • HTML
    • GPKG
    • ESRI REST
    • WMS
  11. Open Government Canada

    Updated Mississippi Valley-type lead-zinc national prospectivity

    Natural Resources Canada | Ressources naturelles CanadaUpdated 19 Oct 2026

    … Feature extraction was performed using an autoencoder (deep learning). Predictive modelling was performed using the deep ensemble method …

    • HTML
    • GPKG
    • ESRI REST
    • WMS
  12. Open Government Canada

    Pan-Canadian predictive model of Carbonatite-hosted REE and Nb deposits

    Natural Resources Canada | Ressources naturelles CanadaUpdated 2 Jul 2025

    … source, transport mechanisms, geological traps, and preservation processes. Deep learning algorithms were employed to integrate these layers into …

    • HTML
    • ESRI REST
    • WMS
    • GPKG
    • PDF
  13. GovData Germany

    HedgeRows - Bavaria, 2019-2021

    open.bydataUpdated 11 Nov 2026

    … from 2019 to 2021, were used in a deep learning approach. Hedgerow polygons of the Bavarian in-situ …

    • WMS
    • DOWNLOAD
  14. data.gouv.fr

    CoSIA

    Institut national de l'information géographique et forestièreUpdated 12 Nov 2026

    … artificielle (IA) notamment des méthodes d’apprentissage profond (deep learning). Elles représentent des informations dites de “prédiction”. Elles …

    • WMS
    • WMTS
  15. data.gouv.fr

    Mouillage en Bretagne et dans les Pays de Loire : étude de la fréquentation et de la pression sur les herbiers de zostère dans 13 secteurs à partir d'imagerie aérienne et satellitaire (2018-2022) (Points, Polygones)

    Office Français de la BiodiversitéUpdated 2 Oct 2026

    … traitement d’images avancées de la famille du deep learning, puis croisée aux données de réglementation des mouillages …

    • OGC:OWS-C
    • WMS
    • WFS
“deep-learning” datasets · Open Data Finder